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Mixed reality for planning of implant surgery for bone defects of irregular shapes


Project title: Mixed reality for planning of implant surgery for bone defects of irregular shapes.
Recruiting and hosting institution: MedApp S.A.
Country: Poland
PhD enrollment: Politecnico di Milano
Supervisors: MedApp S.A. (PL): A. Skalski. Politecnico di Milano (I): P. Vena,
Objectives: To develop algorithms for support of planning of implant surgery for bone defects of irregular shapes with the help of Augmented/Mixed Reality system. To achieve the implant bone positioning in semi-and fully automated way thanks to the use of deterministic and/or deep learning (data-drive) approaches.
Expected Results: The solution will facilitate the process of preparing for the implant surgery for bone defects of irregular shapes. The surgeon will be able to prepare and validate the plan quickly and precisely. On top of that he/she will have a visual support with the aforementioned plan during the surgery with unique possibility to adjust the plan during the procedure thanks to sterile interface of the planning that will employ voice commands and hand gestures. The solution will be based on anatomical landmarks for semi- or fully automated placement of the implant in the Computed Tomography of the patient stored in DICOM standard. The anatomical landmarks are the basis for correct positioning of the implant. The anatomical landmarks can be placed in the data manually on 2D slices and also on 3D reconstruction on the workstation and in the holographic space of Augmented/Mixed reality. The algorithm should also determine the landmarks in a fully automated way with the possibility to adjust the results manually if needed. Validation of the implant positioning in the holographic space will be beneficiary for the surgeon as he/she will have constant access to the surgical plan during surgery.

Description: DC10 position is about investigating the following aspects

  1. Development of algorithms for bone implant positioning in semi- and fully automated ways by the use of deterministic and/or deep learning (data-driven) approaches
  2. Development of Augmented/Mixed-Reality solution for bone implant surgery planning;
  3. Development of algorithms for the identification of the anatomical landmarks for surgery planning
  4. Integration of the solution with the inputs provided by other DCs.

The Doctoral Candidates will interact with other members of the project’s DCs in a multidisciplinary setting by taking part in training sessions and workshops. Each DC will also conduct secondments in order to broaden her/his scientific understanding of the project’s subject and develop soft skills.